# Medicare Part D Prescriber Scraper (CMS) (`foo121/cms-prescriber-scraper`) Actor Export Medicare Part D prescribers by state, specialty and drug from CMS open data: NPI, prescriber, specialty, brand/generic drug, total claims and drug cost. Pharma & med-device market intel, pay per result. - **URL**: https://apify.com/foo121/cms-prescriber-scraper.md - **Developed by:** [ziv shay](https://apify.com/foo121) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 result items This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Medicare Part D Prescriber Scraper (CMS) **Medicare Part D prescriber data** scraper — pull official **CMS prescriber drug data** by state, specialty, and drug, with claim counts and total drug cost per prescriber. Built for **pharma sales & market access teams, med-device companies, and healthcare market intelligence analysts** who need to know who is prescribing what, where, and how much. This **CMS prescriber scraper** reads the **official CMS open data** release — Medicare Part D Prescribers by Provider and Drug — so every row is sourced from a public, authoritative federal dataset. No API key required. Filter by state and (optionally) provider type, prescriber name, organization, or a specific drug, and get back prescriber-level **prescriber drug data**: NPI, name, specialty, location, brand and generic drug names, total claims, and total drug cost. Pairs naturally with our **US Healthcare Provider (NPI) Scraper** — match on `npi` to enrich prescribers with full registry contact details. ### What you get | Field | Description | |---|---| | `npi` | Prescriber's 10-digit National Provider Identifier | | `prescriberName` | Prescriber's name (last, first) | | `specialty` | Prescriber specialty / provider type as classified by CMS | | `city` | Prescriber city | | `state` | Prescriber state | | `brandName` | Brand name of the prescribed drug | | `genericName` | Generic (non-proprietary) name of the drug | | `totalClaims` | Total Part D claims for that prescriber/drug | | `totalDrugCost` | Total drug cost in USD for that prescriber/drug | | `year` | Data year of the CMS Part D release | ### Input | Field | Type | Default | Description | |---|---|---|---| | `state` | string | — | Two-letter state code (e.g. `"CA"`). Strongly recommended to keep runs fast and relevant | | `providerType` | string | — | Optional specialty filter (e.g. `"Endocrinology"`) | | `lastName` | string | — | Optional prescriber last name filter | | `organizationName` | string | — | Optional org name filter (used only if `lastName` is empty) | | `drugName` | string | — | Optional drug filter (brand tried first, e.g. `"Ozempic"`, then generic) | | `maxItems` | integer | `500` | Max prescriber/drug rows to return | #### Example input ```json { "state": "CA", "providerType": "Endocrinology", "drugName": "Ozempic", "maxItems": 500 } ```` ### Example run output ```json { "npi": "1356789012", "prescriberName": "Patel, Anita", "specialty": "Endocrinology", "city": "San Diego", "state": "CA", "brandName": "Ozempic", "genericName": "Semaglutide", "totalClaims": 412, "totalDrugCost": 387450.18, "year": 2023 } ``` ### Use cases - **Pharma sales & market access teams** identifying and ranking high-volume prescribers for a target drug in a territory. - **Med-device companies** mapping specialty prescribing patterns to find clinical decision-makers. - **Healthcare market intelligence analysts** sizing drug uptake and competitive share by state and specialty. - **Commercial ops teams** enriching prescriber lists (join on `npi` with the NPI scraper) for territory planning. ### vs IQVIA and enterprise prescriber-data vendors IQVIA and similar prescriber-intelligence vendors sell this kind of intel through enterprise contracts at enterprise prices. This **Medicare Part D prescriber scraper** pulls the **official CMS Part D public dataset** instead — pay per result, no contract, no minimum. Honest caveat: the CMS data is the **public Medicare Part D claims summary**, not IQVIA's proprietary projected, audited, all-payer panel. It covers Medicare Part D only and is released on CMS's annual schedule. If you need all-payer projected volumes, that's a different (paid) product. If you need authoritative Medicare prescribing fact, this is it. ### Pricing Pay per result — billed only for the prescriber/drug rows returned, no subscription. ### Keywords Medicare Part D prescriber data, CMS prescriber scraper, prescriber drug data, CMS open data prescribers, prescriber by drug, Ozempic prescribers, prescriber volume data, pharma market access data, prescriber NPI claims, Medicare prescribing data # Actor input Schema ## `state` (type: `string`): Two-letter US state code to filter prescribers by (e.g. CA, NY, TX). Strongly recommended — CMS Part D is national. ## `providerType` (type: `string`): Prescriber specialty exactly as CMS labels it (e.g. Endocrinology, Family Practice, Internal Medicine, Cardiology). Optional. ## `lastName` (type: `string`): Filter by an individual prescriber's last name (exact match). Optional. ## `organizationName` (type: `string`): Filter by organization prescriber name (exact match). Optional. Used only if Last name is empty. ## `drugName` (type: `string`): Filter by a drug, brand (e.g. Ozempic) or generic (e.g. Semaglutide). Brand is tried first, then generic. Optional. ## `maxItems` (type: `integer`): Maximum number of prescriber-drug rows to output. ## Actor input object example ```json { "state": "CA", "providerType": "Endocrinology", "drugName": "Ozempic", "maxItems": 500 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("foo121/cms-prescriber-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("foo121/cms-prescriber-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call foo121/cms-prescriber-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foo121/cms-prescriber-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Medicare Part D Prescriber Scraper (CMS)", "description": "Export Medicare Part D prescribers by state, specialty and drug from CMS open data: NPI, prescriber, specialty, brand/generic drug, total claims and drug cost. Pharma & med-device market intel, pay per result.", "version": "1.0", "x-build-id": "PzRY8LdTkJD6KUY4X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foo121~cms-prescriber-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foo121-cms-prescriber-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/foo121~cms-prescriber-scraper/runs": { "post": { "operationId": "runs-sync-foo121-cms-prescriber-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/foo121~cms-prescriber-scraper/run-sync": { "post": { "operationId": "run-sync-foo121-cms-prescriber-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "state": { "title": "State", "type": "string", "description": "Two-letter US state code to filter prescribers by (e.g. CA, NY, TX). Strongly recommended — CMS Part D is national." }, "providerType": { "title": "Provider type / specialty", "type": "string", "description": "Prescriber specialty exactly as CMS labels it (e.g. Endocrinology, Family Practice, Internal Medicine, Cardiology). Optional." }, "lastName": { "title": "Prescriber last name", "type": "string", "description": "Filter by an individual prescriber's last name (exact match). Optional." }, "organizationName": { "title": "Organization name", "type": "string", "description": "Filter by organization prescriber name (exact match). Optional. Used only if Last name is empty." }, "drugName": { "title": "Drug name (brand or generic)", "type": "string", "description": "Filter by a drug, brand (e.g. Ozempic) or generic (e.g. Semaglutide). Brand is tried first, then generic. Optional." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of prescriber-drug rows to output.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```